| Title | An Improved Hybrid Group Intelligent Algorithm Based on Artificial Bee Colony and Particle Swarm Optimization |
| Publication Type | Conference Paper |
| Year of Publication | 2018 |
| Authors | Gao, Y. |
| Conference Name | 2018 International Conference on Virtual Reality and Intelligent Systems (ICVRIS) |
| Date Published | aug |
| Keywords | Artificial Bee Colony, artificial bee colony algorithm, artificial swarm algorithm, complex optimization problems, composability, convergence, convergence precision, convergence rate, Hybrid algorithm, hybrid group intelligent algorithm, improved hybrid algorithm, Optimization, particle swarm optimisation, particle swarm optimization, particle swarm optimization algorithm, PSO, pubcrawl, Sociology, standard particle swarm algorithm, Statistics, swarm intelligence |
| Abstract | Aiming at the disadvantage of poor convergence performance of PSO and artificial swarm algorithm, an improved hybrid algorithm is proposed to overcome the shortcomings of complex optimization problems. Through the test of four standard function by hybrid algorithm and compared the result with standard particle swarm optimization (PSO) algorithm and Artificial Bee Colony (ABC) algorithm, the convergence rate and convergence precision of the hybrid algorithm are both superior to those of the standard particle swarm algorithm and Artificial Bee Colony algorithm, presenting a better optimal performance. |
| DOI | 10.1109/ICVRIS.2018.00046 |
| Citation Key | gao_improved_2018 |
An Improved Hybrid Group Intelligent Algorithm Based on Artificial Bee Colony and Particle Swarm Optimization